Note: The job is a remote job and is open to candidates in USA. System Inc. is a Public Benefit Corporation that builds software to help the world see and solve anything as a system, particularly in healthcare. As a Data & AI/ML Engineer, you will design data pipelines, build infrastructure for ML models, and ensure the reliability of data systems.
Responsibilities
- Design and maintain scalable data pipelines and ETL/ELT workflows
- Build and operate infrastructure for training, deploying, and serving ML models in production
- Develop feature stores, vector databases, and other AI-enabling data infrastructure
- Ensure reliability, low latency, and high availability of data systems
- Partner closely with Research and Data Science to move findings into production
- Implement monitoring and observability for data and model health
- Contribute to infrastructure as code practices and documentation on cloud platforms
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 4+ years of experience in data engineering, ML engineering, or a related discipline
- Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus
- Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure)
- Understanding of ML lifecycle management, model versioning, and deployment patterns
- Comfort with systems design principles applied to data-intensive architectures
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with knowledge graphs, graph databases, or semantic data models
- Experience with data migrations while maintaining service availability
- Background working with clinical or healthcare data
- Exposure to LLMOps or AI governance frameworks
Company Overview